{"data":{"full_name":"2000pawan/Sentiment-Analysis-","name":"Sentiment-Analysis-","description":"This project performs sentiment analysis on text extracted from URLs using Natural Language Processing (NLP) techniques. It analyzes the sentiment and readability of the extracted content and saves the results in an Excel file.","stars":1.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"twitter-sentiment-analysis","last_pushed_at":"2025-03-28T10:35:36+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":1.0,"maturity_score":9.0,"community_score":0.0,"quality_score":10.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T11:57:02.867373+00:00"}}